贺松平｜华中科技大学｜学者主页

2026

Advances in scanning probe microscopy for biological systems

Songping He, Xiaodong Yu, Weixing Li, Wei Ji, Qing Huan

Biophysics Reports

2026

Physics-informed thermo–dynamic modeling of stiffness and modal drift in preloaded single-nut ball-screw systems under multi-condition thermal loading

Jiaming Zhu, Qiuning Zhu, Hongqi Liu, Jiaying Niu, Jingyu Xue, Xinyong Mao, Songping He, Fangyu Peng, Bo Tan

Precision Engineering

DOI

2026

Precision thermal error modeling for CNC machine tool spindle based on thermographic classification and segmented regression with multi-source heterogeneous information fusion

Hongqi Liu, Yixing He, Xinyong Mao, Bo Li, Fangyu Peng, Songping He

The International Journal of Advanced Manufacturing Technology

DOI

2026

Adaptive milling force estimation via a physics-informed TCN model with frequency-domain self-attention

Junhui Zhu, Hongqi Liu, Qiuning Zhu, Yue Qiu, Jiaming Zhu, Xinyong Mao, Songping He, Fangyu Peng, Jiaying Niu

The International Journal of Advanced Manufacturing Technology

DOI

2025

IBNOA-DynamicCNN: A novel data mining method based on feature subset selection and multi-feature extraction for improving classification performance

Yixing He, Hongqi Liu, Songping He, Fangyu Peng, Bin Li, Xinyong Mao

Intelligent Data Analysis

DOI

2025

Graph-based meta learning to predict tool tip dynamics of multiple machine tools with few labeled data

Chaochao Qiu, Qiongke Liang, Ling Yin, Weiye Li, Songping He, Xinyong Mao

Mechanical Systems and Signal Processing

DOI

2025

An intelligent prediction paradigm for milling tool parameters design based on multi-task tabular data deep transfer learning integrating physical knowledge

Caihua Hao, Weiye Li, Xinyong Mao, Song-Ping He, Bin Li, Hong-Qi Liu, Fang-Yu Peng, Chaochao Qiu

Journal of Manufacturing Processes

DOI

2025

A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes

Caihua Hao, Zhao-Yu Wang, Xinyong Mao, Song-Ping He, Bin Li, Hong-Qi Liu, Fang-Yu Peng, Weiye Li

Computers in industry (Print)

DOI

2024

Multi-models associated with process information-driven process autonomous digital twin for multi-variety production of intelligent machines

Lu Zhang, Xiao Wang, Songping He, Xinyong Mao, Bin Li, Hongqi Liu

Science China Technological Sciences

DOI

2024

Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support

Lu Zhang, Bin Li, Tao Ma, Xuwu Yuan, Zhaoshun Liang, Lei Zhang, Songping He

The International Journal of Advanced Manufacturing Technology

DOI

2024

Multidimensional information model-driven digital twin for the intelligent evaluation of production capacity

Lu Zhang, Songping He, Bin Li, Xinyong Mao, Xin Tan

The International Journal of Advanced Manufacturing Technology

DOI

2024

Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment

Weiye Li, Caihua Hao, Songping He, Chaochao Qiu, Hongqi Liu, Yanyan Xu, Bin Li, Xin Tan, Fangyu Peng

Mechanical Systems and Signal Processing

DOI

2024

Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios

Qiu‐Ning Zhu, Hongqi Liu, Chenyu Bao, Jiaming Zhu, Xinyong Mao, Songping He, Fangyu Peng

Advanced Engineering Informatics

DOI

2024

Correction to: Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

Hongqi Liu, Xinyong Mao, Qiu‐Ning Zhu, Shaokun Zeng, Bin Li, Songping He, Fangyu Peng, Jiaming Zhu

The International Journal of Advanced Manufacturing Technology

DOI

2024

Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

Hongqi Liu, Xinyong Mao, Qiu‐Ning Zhu, Shaokun Zeng, Bin Li, Songping He, Fangyu Peng, Jiaming Zhu

The International Journal of Advanced Manufacturing Technology

DOI

2023

Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment

Weiye Li, Songping He, Xinyong Mao, Bin Li, Chaochao Qiu, Jinwen Yu, Fangyu Peng, Xin Tan

Journal Of Manufacturing Systems，Vol. 670

DOI

2023

Dynamics Knowledge Graph-Based Digital Thread for Machine Tool Dynamics Digital Twin

Lu Zhang, Songping He, Tao Ma, Lei Zhang

International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)

DOI

2023

A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics

Caihua Hao, Xinyong Mao, Tengyu Ma, Song-Ping He, Bin Li, Hong-Qi Liu, F. Peng, Lei Zhang

Advanced Engineering Informatics

DOI

2022

A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS

Chaochao Qiu, Kai Li, Xinzhao Zhou, Songping He, Bin Li

Advanced Engineering Informatics

DOI

2022

A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost

Weiye Li, Bin Li, Songping He, Xinyong Mao, Chaochao Qiu, Yue Qiu, Xin Tan

Journal of Manufacturing Processes

DOI

2022

Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins

Lu Zhang, Songping He, Bin Li, Xinyong Mao, Kun Liang, Caihua Hao

Applied Sciences

DOI

2022

A novel method for machine tool structure condition monitoring based on knowledge graph

Chaochao Qiu, Bin Li, Hongqi Liu, Songping He, Caihua Hao

The International Journal of Advanced Manufacturing Technology

DOI

2021

Defect attention template generation cycleGAN for weakly supervised surface defect segmentation

Shuanlong Niu, Bin Li, Xinggang Wang, Songping He, Yaru Peng

Pattern Recognition

DOI

2021

Semi-supervised graph convolutional network to predict position- and speed-dependent tool tip dynamics with limited labeled data

Chaochao Qiu, Kai Li, Bin Li, Xinyong Mao, Songping He, Caihua Hao, Ling Yin

Mechanical Systems and Signal Processing

DOI

2021

Corrigendum to “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe” [Mech. Syst. Signal Process. 138 (2020) 106532]

Kai Li, Songping He, Hongqi Liu, Xinyong Mao, Bin Li, Bo Luo

Mechanical Systems and Signal Processing

DOI

2020

Vibration-based health monitoring of ball screw in changing operational conditions

Kai Li, Chaochao Qiu, Chunhui Li, Songping He, Bin Li, Bo Luo, Hongqi Liu

Journal of Manufacturing Processes

DOI

2019

Bayesian uncertainty quantification and propagation for prediction of milling stability lobe

Kai Li, Songping He, Hongqi Liu, Xinyong Mao, Bin Li, Bo Luo

Mechanical Systems and Signal Processing

DOI

2019

Online chatter detection in milling process based on VMD and multiscale entropy

Kai Li, Songping He, Bo Luo, Bin Li, Hongqi Liu, Xinyong Mao

The International Journal of Advanced Manufacturing Technology

DOI

2019

Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion

Chengming Shi, Bo Luo, Songping He, Kai Li, Hongqi Liu, Bin Li

IEEE Transactions on Industrial Informatics

DOI

2019

A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting

Kai Li, Songping He, Bin Li, Hongqi Liu, Xinyong Mao, Chengming Shi

Mechanical Systems and Signal Processing

DOI

2019

Research on vibration suppression mode of sorting arm structure in high-frequency reciprocating motion

Xuchu Jiang, Bin Li, Xinyong Mao, Yili Peng, Wei Jiang, Songping He

Journal of Vibroengineering

DOI

2019

Chatter stability in ultra-precision fly cutting considering tool wear effect

Kai Li, Songping He, Bo Luo, Bin Li, Hongqi Liu

The International Journal of Advanced Manufacturing Technology

DOI

2019

Influence and error transfer in assembly process of geometric errors of a translational axis on volumetric error in machine tools

Xue-Min Zhong, Hong-Qi Liu, Xinyong Mao, Bin Li, Song-Ping He

Measurement

DOI

2018

New approach based on operational strain modal analysis to identify dynamical properties of the high-speed reciprocating operation mechanism

Xuchu Jiang, Bin Li, Xinyong Mao, Yili Peng, Songping He

Journal of low frequency noise, vibration and active control

DOI

2018

Analysis of the stiffness sensitivity of a sorting arm mechanism based on a generalized modal mass distributing matrix

Xuchu Jiang, Bin Li, Hongqi Liu, Songping He, Xinyong Mao, Wei Yong Jiang

Advances in Mechanical Engineering

DOI

2018

Volumetric error modeling, identification and compensation based on screw theory for a large multi-axis propeller-measuring machine

Xue-Min Zhong, Hong-Qi Liu, Xinyong Mao, Bin Li, Song-Ping He, F. Peng

DOI

2018

Research on dynamics of sorting arms with high frequency reciprocating motion

Xinyong Mao, Xuchu Jiang, Bin Li, Song-Ping He, Wei Jiang

Journal of Vibroengineering

DOI

2016

A complete methodology for identifying dynamics of heavy machine tool through operational modal analysis

Xinyong Mao, Yan Ruizhi, Hui Cai, Bin Li, Bo Luo, Songping He

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture

DOI

2015

基于主轴空运行自激励的数控机床激励方法

毛新勇，闫睿智，李斌，贺松平

《华中科技大学学报(自然科学版)》

2015

高频摆臂结构应变响应动力学特性及振动抑制研究

贺松平

《华中科技大学》

2015

A method of measuring tool tip vibration in turning operations

Hongqi Liu, Sheng-Bing Tang, Songping He, Bin Li, Xinyong Mao, Fangyu Peng

The International Journal of Advanced Manufacturing Technology

DOI

2015

Blob analyzation-based template matching algorithm for LED chip localization

Fuqiang Zhong, Songping He, Bin Li

The International Journal of Advanced Manufacturing Technology

DOI

2015

A new approach based on modal mass distribution matrix to identify weak components of machine tool structure

Songping He, Xinyong Mao, Xiangqiu Liu, Bo Luo, Bin Li, Fangyu Peng

The International Journal of Advanced Manufacturing Technology

DOI

2015

A fast template matching method for LED chip Localization

Fuqiang Zhong, Songping He, Jiangwei Yi

MATEC Web of Conferences

DOI

2015

Template matching-based chip positioning method

Song-Ping He, F. Zhong, Bin Li, Wen-Chao Wu, Da Li, Xin Xu, Yuan-Hong Qiu, Kang-Shih Wei

2015

CNC工作機械主軸の空輸した自己励起に基づく励起方法【JST・京大機械翻訳】

Xin-Yong Mao, Rui Yan, Bin Li, Song-Ping He

2015

A chip crystal defects even Identification

Song-Ping He, F. Zhong, Bin Li, Xin Xu, Da Li, Wen-Chao Wu, Yuan-Hong Qiu, Kang Wei

2014

A thermal error model for large machine tools that considers environmental thermal hysteresis effects

Bo Tan, Xinyong Mao, Hongqi Liu, Bin Li, Songping He, Fangyu Peng, Ling Yin

International Journal of Machine Tools and Manufacture

DOI

2011

Numerical control machine that turning stability line monitoring method

Hong-Qi Liu, Xiaoqi Tang, Fang-Yu Peng, Bin Li, Kuan-Min Mao, Xin-Yong Mao, Song-Ping He, Qing-Hai Chen

精选作品

期刊论文

Advances in scanning probe microscopy for biological systems

Physics-informed thermo–dynamic modeling of stiffness and modal drift in preloaded single-nut ball-screw systems under multi-condition thermal loading

Precision thermal error modeling for CNC machine tool spindle based on thermographic classification and segmented regression with multi-source heterogeneous information fusion

Adaptive milling force estimation via a physics-informed TCN model with frequency-domain self-attention

IBNOA-DynamicCNN: A novel data mining method based on feature subset selection and multi-feature extraction for improving classification performance

Graph-based meta learning to predict tool tip dynamics of multiple machine tools with few labeled data

An intelligent prediction paradigm for milling tool parameters design based on multi-task tabular data deep transfer learning integrating physical knowledge

A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes

Multi-models associated with process information-driven process autonomous digital twin for multi-variety production of intelligent machines

Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support

Multidimensional information model-driven digital twin for the intelligent evaluation of production capacity

Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment

Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios

Correction to: Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment

Dynamics Knowledge Graph-Based Digital Thread for Machine Tool Dynamics Digital Twin

A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics

A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS

A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost

Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins

A novel method for machine tool structure condition monitoring based on knowledge graph

Defect attention template generation cycleGAN for weakly supervised surface defect segmentation

Semi-supervised graph convolutional network to predict position- and speed-dependent tool tip dynamics with limited labeled data

Corrigendum to “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe” [Mech. Syst. Signal Process. 138 (2020) 106532]

Vibration-based health monitoring of ball screw in changing operational conditions

Bayesian uncertainty quantification and propagation for prediction of milling stability lobe

Online chatter detection in milling process based on VMD and multiscale entropy

Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion

A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting

Research on vibration suppression mode of sorting arm structure in high-frequency reciprocating motion

Chatter stability in ultra-precision fly cutting considering tool wear effect

Influence and error transfer in assembly process of geometric errors of a translational axis on volumetric error in machine tools

New approach based on operational strain modal analysis to identify dynamical properties of the high-speed reciprocating operation mechanism

Analysis of the stiffness sensitivity of a sorting arm mechanism based on a generalized modal mass distributing matrix

Volumetric error modeling, identification and compensation based on screw theory for a large multi-axis propeller-measuring machine

Research on dynamics of sorting arms with high frequency reciprocating motion

A complete methodology for identifying dynamics of heavy machine tool through operational modal analysis

基于主轴空运行自激励的数控机床激励方法

高频摆臂结构应变响应动力学特性及振动抑制研究

A method of measuring tool tip vibration in turning operations

Blob analyzation-based template matching algorithm for LED chip localization

A new approach based on modal mass distribution matrix to identify weak components of machine tool structure

A fast template matching method for LED chip Localization

Template matching-based chip positioning method

CNC工作機械主軸の空輸した自己励起に基づく励起方法【JST・京大機械翻訳】

A chip crystal defects even Identification

A thermal error model for large machine tools that considers environmental thermal hysteresis effects

Numerical control machine that turning stability line monitoring method

会议论文

A fast template matching method for LED chip Localization

研究方向